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Artificial Intelligence and Machine Learning Techniques for Civil Engineering

Artificial Intelligence and Machine Learning Techniques for Civil Engineering

Copyright: © 2023 |Pages: 385
ISBN13: 9781668456439|ISBN10: 1668456435|EISBN13: 9781668456446|ISBN13 Softcover: 9781668474303
DOI: 10.4018/978-1-6684-5643-9
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MLA

Plevris, Vagelis, et al., editors. Artificial Intelligence and Machine Learning Techniques for Civil Engineering. IGI Global, 2023. https://doi.org/10.4018/978-1-6684-5643-9

APA

Plevris, V., Ahmad, A., & Lagaros, N. D. (Eds.). (2023). Artificial Intelligence and Machine Learning Techniques for Civil Engineering. IGI Global. https://doi.org/10.4018/978-1-6684-5643-9

Chicago

Plevris, Vagelis, Afaq Ahmad, and Nikos D. Lagaros, eds. Artificial Intelligence and Machine Learning Techniques for Civil Engineering. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-5643-9

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In recent years, artificial intelligence (AI) has drawn significant attention with respect to its applications in several scientific fields, varying from big data handling to medical diagnosis. A tremendous transformation has taken place with the emerging application of AI. AI can provide a wide range of solutions to address many challenges in civil engineering.

Artificial Intelligence and Machine Learning Techniques for Civil Engineering highlights the latest technologies and applications of AI in structural engineering, transportation engineering, geotechnical engineering, and more. It features a collection of innovative research on the methods and implementation of AI and machine learning in multiple facets of civil engineering. Covering topics such as damage inspection, safety risk management, and information modeling, this premier reference source is an essential resource for engineers, government officials, business leaders and executives, construction managers, students and faculty of higher education, librarians, researchers, and academicians.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Advances in Civil and Industrial Engineering (ACIE) Book Series
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Editorial Advisory Board
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Preface
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Acknowledgment
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Chapters
Back Materials
Compilation of References
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About the Contributors
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Index
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